Memory in silico: Building a neuromimetic episodic cognitive model

S. E. Taylor, C. M. Vineyard, M. J. Healy, T. P. Caudell, N. J. Cohen, P. Watson, H. Eichenbaum, S. J. Verzi, J. D. Morrow, M. L. Bernard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a neurologically plausible computational architecture to model human episodic memory and recall based on cortical-hippocampal structure and function. The model design is inspired by neuroscience findings and categorical neural semantic theory. Fuzzy Adaptive Resonance Theory (ART) and temporal integration are used to form episodic representations. Supported by the mathematical formalism of category theory, we theorize that correctly forming and manipulating episodic representations of sensory inputs, we can model elements of cognitive behavior. We demonstrate the architecture's function by comparison to human experiments in an episodic memory task.

Original languageEnglish (US)
Title of host publication2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Pages733-737
Number of pages5
DOIs
StatePublished - Nov 16 2009
Event2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, United States
Duration: Mar 31 2009Apr 2 2009

Publication series

Name2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Volume5

Other

Other2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
CountryUnited States
CityLos Angeles, CA
Period3/31/094/2/09

Fingerprint

Data storage equipment
Semantics
Experiments

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Software

Cite this

Taylor, S. E., Vineyard, C. M., Healy, M. J., Caudell, T. P., Cohen, N. J., Watson, P., ... Bernard, M. L. (2009). Memory in silico: Building a neuromimetic episodic cognitive model. In 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 (pp. 733-737). [5170630] (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009; Vol. 5). https://doi.org/10.1109/CSIE.2009.978

Memory in silico : Building a neuromimetic episodic cognitive model. / Taylor, S. E.; Vineyard, C. M.; Healy, M. J.; Caudell, T. P.; Cohen, N. J.; Watson, P.; Eichenbaum, H.; Verzi, S. J.; Morrow, J. D.; Bernard, M. L.

2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009. 2009. p. 733-737 5170630 (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009; Vol. 5).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Taylor, SE, Vineyard, CM, Healy, MJ, Caudell, TP, Cohen, NJ, Watson, P, Eichenbaum, H, Verzi, SJ, Morrow, JD & Bernard, ML 2009, Memory in silico: Building a neuromimetic episodic cognitive model. in 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009., 5170630, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, vol. 5, pp. 733-737, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, Los Angeles, CA, United States, 3/31/09. https://doi.org/10.1109/CSIE.2009.978
Taylor SE, Vineyard CM, Healy MJ, Caudell TP, Cohen NJ, Watson P et al. Memory in silico: Building a neuromimetic episodic cognitive model. In 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009. 2009. p. 733-737. 5170630. (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009). https://doi.org/10.1109/CSIE.2009.978
Taylor, S. E. ; Vineyard, C. M. ; Healy, M. J. ; Caudell, T. P. ; Cohen, N. J. ; Watson, P. ; Eichenbaum, H. ; Verzi, S. J. ; Morrow, J. D. ; Bernard, M. L. / Memory in silico : Building a neuromimetic episodic cognitive model. 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009. 2009. pp. 733-737 (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009).
@inproceedings{3f7520aee6564d38aa02a2404649e237,
title = "Memory in silico: Building a neuromimetic episodic cognitive model",
abstract = "We propose a neurologically plausible computational architecture to model human episodic memory and recall based on cortical-hippocampal structure and function. The model design is inspired by neuroscience findings and categorical neural semantic theory. Fuzzy Adaptive Resonance Theory (ART) and temporal integration are used to form episodic representations. Supported by the mathematical formalism of category theory, we theorize that correctly forming and manipulating episodic representations of sensory inputs, we can model elements of cognitive behavior. We demonstrate the architecture's function by comparison to human experiments in an episodic memory task.",
author = "Taylor, {S. E.} and Vineyard, {C. M.} and Healy, {M. J.} and Caudell, {T. P.} and Cohen, {N. J.} and P. Watson and H. Eichenbaum and Verzi, {S. J.} and Morrow, {J. D.} and Bernard, {M. L.}",
year = "2009",
month = "11",
day = "16",
doi = "10.1109/CSIE.2009.978",
language = "English (US)",
isbn = "9780769535074",
series = "2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009",
pages = "733--737",
booktitle = "2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009",

}

TY - GEN

T1 - Memory in silico

T2 - Building a neuromimetic episodic cognitive model

AU - Taylor, S. E.

AU - Vineyard, C. M.

AU - Healy, M. J.

AU - Caudell, T. P.

AU - Cohen, N. J.

AU - Watson, P.

AU - Eichenbaum, H.

AU - Verzi, S. J.

AU - Morrow, J. D.

AU - Bernard, M. L.

PY - 2009/11/16

Y1 - 2009/11/16

N2 - We propose a neurologically plausible computational architecture to model human episodic memory and recall based on cortical-hippocampal structure and function. The model design is inspired by neuroscience findings and categorical neural semantic theory. Fuzzy Adaptive Resonance Theory (ART) and temporal integration are used to form episodic representations. Supported by the mathematical formalism of category theory, we theorize that correctly forming and manipulating episodic representations of sensory inputs, we can model elements of cognitive behavior. We demonstrate the architecture's function by comparison to human experiments in an episodic memory task.

AB - We propose a neurologically plausible computational architecture to model human episodic memory and recall based on cortical-hippocampal structure and function. The model design is inspired by neuroscience findings and categorical neural semantic theory. Fuzzy Adaptive Resonance Theory (ART) and temporal integration are used to form episodic representations. Supported by the mathematical formalism of category theory, we theorize that correctly forming and manipulating episodic representations of sensory inputs, we can model elements of cognitive behavior. We demonstrate the architecture's function by comparison to human experiments in an episodic memory task.

UR - http://www.scopus.com/inward/record.url?scp=71049185169&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71049185169&partnerID=8YFLogxK

U2 - 10.1109/CSIE.2009.978

DO - 10.1109/CSIE.2009.978

M3 - Conference contribution

AN - SCOPUS:71049185169

SN - 9780769535074

T3 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

SP - 733

EP - 737

BT - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

ER -